Relevant bibliographies by topics / Classificaton

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  1. Journal articles
  2. Dissertations / Theses
  3. Books
  4. Book chapters
  5. Conference papers
  6. Reports

Academic literature on the topic 'Classificaton'

Author: Grafiati
Published: 4 June 2021
Last updated: 1 February 2022

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Journal articles on the topic "Classificaton"

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Dozic, Slobodan, Dubravka Cvetkovic-Dozic, Milica Skender-Gazibara, and Branko Dozic. "Review of the World Health Organization classification of tumors of the nervous system." Archive of Oncology 10, no. 3 (2002): 175–77. http://dx.doi.org/10.2298/aoo0203175d.

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(Conclusion) Classifications of the nervous system tumors should be neither static nor definitive. The most recent, third, current WHO classification of nervous system tumors was published in 2000. Many substantial changes were introduced. New entities include the chordoid glioma of the third ventricle, the atypical teratoid/rhabdoid tumor, cerebellar liponeurocytoma (the former lipomatous medulloblstoma of the cerebellum), solitary fibrous tumor and perineurioma. The new tumor variants include the large cell medulloblastoma, tanacytic ependymoma and rhabdoid meningioma. Several essential changes were introduced in the meningiomas regarding histological subtypes, grading and proliferation index. In addition to new entities described in the 2000 WHO classification there are newly brain tumor entities and tumor variants, which are not included in the current classification due to the insufficient number of reporeted cases, for example papillary glioneuronal tumor, rosetted glioneuronal tumor, lipoastrocytoma and lipomatous meningioma. They will be probably accepted in the next WHO classificaton. In the current WHO classification the importance of cytogenetic and molecular biologic investigation in the understanding and further classifications of these tumors has been emphasized.
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PRATALI, RAPHAEL DE REZENDE, LUIZ EDUARDO MOREIRA PASSOS, CARLOS EDUARDO ALGAVES SOARES DE OLIVEIRA, and CARLOS FERNANDO P. S. HERRERO. "SPINOPELVIC VARIABILITY ACCORDING TO THE ROUSSOULY CLASSIFICATON CURVE TYPE." Coluna/Columna 19, no. 2 (June 2020): 112–15. http://dx.doi.org/10.1590/s1808-185120201902224176.

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ABSTRACT Objective To evaluate the variability of spinopelvic sagittal parameters and the distribution of lordosis in the lumbar spine in a sample of patients. Methods This is a cross-sectional study considering full-spine radiographs of a patient sample. The patients were classified according to the Roussouly classification and both radiographic spinopelvic alignment parameters and the lordosis measurement of each lumbar spinal segment were considered. The radiographic parameters were correlated with the Roussouly classification type. Results Ninety patients were included in the study. There was significant correlation between pelvic incidence (PI) and lumbar lordosis (LL) (R=0.89; p<0.0001). The values of PI were significantly higher in Roussouly types 3 and 4 than in types 1 and 2 (p<0.001), as were the values of LL L1-S1(p<0.001). Considering the total sample, 67% of LL L1-S1 was located between L4-S1, but with variations by the Roussouly classification curve types. Conclusion This study demonstrated a high correlation between the values of PI and LL, as well as the importance of the distal lumbar segment (L4-S1) in the overall value of LL L1-S1, which was even higher in patients with a lower PI value (Roussouly types 1 and 2). Level of evidence II; Retrospective analysis of a prospective database (Cohort); Diagnostic study.
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Manthorpe, Rolf, Peter Oxholm, Jan Ulrik Prause, and Morten Schi ΦoSdt. "Sjö syndrome: comments on the proposed crieteria for classificaton." Arthritis & Rheumatism 30, no. 8 (August 1987): 954–55. http://dx.doi.org/10.1002/art.1780300820.

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Mouzyka, Serguei, and Alexandra Fedoseeva. "Chromoendoscopy with hematoxylin in the classificaton of gastric lesions." Gastric Cancer 11, no. 1 (March 2008): 15–22. http://dx.doi.org/10.1007/s10120-007-0445-4.

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BÁLYA, DÁVID. "CNN UNIVERSAL MACHINE AS CLASSIFICATON PLATFORM: AN ART-LIKE CLUSTERING ALGORITHM." International Journal of Neural Systems 13, no. 06 (December 2003): 415–25. http://dx.doi.org/10.1142/s0129065703001807.

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Fast and robust classification of feature vectors is a crucial task in a number of real-time systems. A cellular neural/nonlinear network universal machine (CNN-UM) can be very efficient as a feature detector. The next step is to post-process the results for object recognition. This paper shows how a robust classification scheme based on adaptive resonance theory (ART) can be mapped to the CNN-UM. Moreover, this mapping is general enough to include different types of feed-forward neural networks. The designed analogic CNN algorithm is capable of classifying the extracted feature vectors keeping the advantages of the ART networks, such as robust, plastic and fault-tolerant behaviors. An analogic algorithm is presented for unsupervised classification with tunable sensitivity and automatic new class creation. The algorithm is extended for supervised classification. The presented binary feature vector classification is implemented on the existing standard CNN-UM chips for fast classification. The experimental evaluation shows promising performance after 100% accuracy on the training set.
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Eki, Ziya, Akif Akgl, and Mehmet Recep Bozkurt. "The Classificaton of EEG Signals Recorded in Drunk and Non-Drunk People." International Journal of Computer Applications 68, no. 10 (April 18, 2013): 40–44. http://dx.doi.org/10.5120/11619-7018.

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Bhatt, Mittal, Vishal Dahiya, and Arvind K. Singh. "A Comparative Analysis of Classificaton methods for Diagnosis of Lower Back Pain." Oriental journal of computer science and technology 11, no. 2 (June 7, 2018): 135–39. http://dx.doi.org/10.13005/ojcst11.02.09.

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In this paper different classification methods are compared using base and meta(Combination of Multiple Classifier for training) level classifiers, for the fruitful diagnosis of Lower Back Pain. The Lower Back Pain becomes chronic with age, so needs to be correctly diagnose with symptoms in the early age. Five independent classifiers were implemented at base level and meta level. At meta level, five combinations of different classifiers were implemented, using voting technique. According to the scores, the overall classification using Naïve Bayes and Multilayer Perceptron got the maximum efficiency 83.87%. The purpose of this paper is to diagnose healthy individuals efficiently. To carry out study the Lower Back Pain Symptoms Dataset is used from very famous platform for predictive modeling, Kaggle. The experiments were carried out in WEKA (Waikato Environment for Knowledge Analysis), suite of machine learning software1.
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Ai, Guoxiang. "Progress in the Measurement of Solar Magnetic Fields." International Astronomical Union Colloquium 141 (1993): 149–55. http://dx.doi.org/10.1017/s0252921100028980.

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AbstractThe historical development of optical instruments for solar physics is outlined, from white light to unpolarized and polarized monochromatic light, to Stokes profiles and simultaneous fields of view, from points to lines, plane to cube. An evolutionary series and classificaton of instruments for the solar magnetic field is described. As a next step the 2-D real time polarizing spectrograph has been proposed. The planned instruments in China for measurements of solar magnetic and velocity fields are briefly introduced.
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Et. al., T. Sathya Priya,. "Resnet Based Feature Extraction with Decision Tree Classifier for Classificaton of Mammogram Images." Turkish Journal of Computer and Mathematics Education (TURCOMAT) 12, no. 2 (April 11, 2021): 1147–53. http://dx.doi.org/10.17762/turcomat.v12i2.1136.

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Right now, breast cancer is considered as a most important health problem among women over the world. The detection of breast cancer in the beginning stage can reduce the mortality rate to a considerable extent. Mammogram is an effective and regularly used technique for the detection and screening of breast cancer. The advanced deep learning (DL) techniques are utilized by radiologists for accurate finding and classification of medical images. This paper develops a new deep segmentation with residual network (DS-RN) based breast cancer diagnosis model using mammogram images. The presented DS-RN model involves preprocessing, Faster Region based Convolution Neural Network (R-CNN) (Faster R-CNN) with Inception v2 model based segmentation, feature extraction and classification. To classify the mammogram images, decision tree (DT) classifier model is used. A detailed simulation process is performed to ensure the betterment of the presented model on the Mini-MIAS dataset. The obtained experimental values stated that the DS-RN model has reached to a maximum classification performance with the maximum sensitivity, specificity, accuracy and F-Measure of 98.15%, 100%, 98.86% and 99.07% respectively.
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Kim, Sung Rae, So-Hyun Kim, Il-Gon Kim, Changseok Song, Yoonjae Choi, Ki-Hwan Ji, Eun-Cheol Song, and Joung-Ho Rha. "PO15.3 Intima-Media Thickness According to TOAST Classificaton and Risk Factors in Ischemic Stroke." Clinical Neurophysiology 120 (April 2009): S90. http://dx.doi.org/10.1016/s1388-2457(09)60296-0.

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Dissertations / Theses on the topic "Classificaton"

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Engin, Melih. "Text Classificaton In Turkish Marketing Domain And Context-sensitive Ad Distribution." Master's thesis, METU, 2009. http://etd.lib.metu.edu.tr/upload/12610457/index.pdf.

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Online advertising has a continuously increasing popularity. Target audience of this new advertising method is huge. Additionally, there is another rapidly growing and crowded group related to internet advertising that consists of web publishers. Contextual advertising systems make it easier for publishers to present online ads on their web sites, since these online marketing systems automatically divert ads to web sites with related contents. Web publishers join ad networks and gain revenue by enabling ads to be displayed on their sites. Therefore, the accuracy of automated ad systems in determining ad-context relevance is crucial. In this thesis we construct a method for semantic classification of web site contexts in Turkish language and develop an ad serving system to display context related ads on web documents. The classification method uses both semantic and statistical techniques. The method is supervised, and therefore, needs processed sample data for learning classification rules. Therefore, we generate a Turkish marketing dataset and use it in our classification approaches. We form successful classification methods using different feature spaces and support vector machine configurations. Our results present a good comparison between these methods.
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Benabbou, Loubna. "Contributions à la classificaton supervisée multi-classes et multicritère en aide à la décision." Doctoral thesis, Université Laval, 2009. http://hdl.handle.net/20.500.11794/20646.

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La revue des méthodes de classification révèle des forces et des faiblesses dans chacun des paradigmes de la classification. Notre ambition est d 'étendre le champ d'application de certaines méthodes, en essayant de concilier les avantages de l'apprentissage statistique et ceux de l'Aide Multicritère à la Décision. Cette thèse vise le développement de modèles de classification supervisée dans un cadre multi-classes et multicritère. Elle apporte particulièrement des éléments de réponse aux questions de recherche suivantes: Sous quelles conditions la classification multi-classes se réduit-elle à la classification binaire? Quel est le lien entre cette réduction et la pénalisation des erreurs? Est-il possible de déterminer des bornes multi-classes simultanées? De telles bornes peuvent-elles être à la fois calculables et serrées? Peut-on concevoir un modèle de classification qui satisfait d'une part les différentes exigences de l'aide multicritère à la décision et qui offre d'autre part une gamme « suffisante » d'arbitrages entre précision et complexité? Cette thèse offre une revue du champ de la classification. Pour bien saisir ce champ, il s'avère nécessaire de s'arrêter sur les différentes approches de classification et de caractériser les méthodes de classification connues. C'est ainsi que cette thèse adopte une vision multidisciplinaire pour adresser les questions de recherche posées. Des bornes multi-classes simultanées pour mesurer la performance des classificateurs multi-classes sont développées. En énonçant et démontrant le principe de réduction, nous montrons le lien entre l'asymétrie de la structure de pénalisation des erreurs et la nature multi-classes du problème de classification. Nous généralisons par la suite les bornes de la classification binaire dans le cas multi-classes. Ainsi, nous développons des bornes optimales pour évaluer, voire estimer des classificateurs multi-classes. Un modèle à base de pavés pour l'estimation d'un classificateur multi-classes et multicritère est proposé. Ce modèle établit la preuve qu'il est possible de concilier les concepts et les avantages de l'apprentissage statistique et de l'aide multicritère à la décision. La faisabilité du modèle est vérifiée sur un exemple de taille réduite. Nous illustrons aussi un arbitrage fondamental entre précision et complexité des classificateurs.
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Theotokis, Dimitrios. "A classificaton framework, evaluation and selection criteria and technological advances for Computer-Aided Software Engineering (CASE) tools." Thesis, Heriot-Watt University, 1992. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.335262.

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Bonneau, Jean-Christophe. "La classification des contrats : essai d'une analyse systémique des classifications du Code civil." Grenoble, 2010. http://www.theses.fr/2010GREND017.

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La classification des contrats telle qu'elle est énoncée aux articles 1102 et suivants du Code civil se distingue structurellement des classifications modernes lui ayant été ajoutées. Prenant au sérieux l'idée d’une approche globale de la classification, les classifications du Code civil, séparées d'un régime juridique qui ne dépend pas en réalité d'elles et de notions qui lui sont étrangères, comme la cause, ont été envisagées dans leurs rapports de logique et de complémentarité. L'existence des chaînes de classifications, nouvelle classification résultant de l'assemblage cohérent des différentes classifications prévues par le Code civil, a pu être révélée au terme d'une étude visant à comprendre comment ces classifications se lient et se combinent entre elles. Les fonctionnalités de la classification des contrats ont alors été déduites de la structure même des classifications du Code civil réunies en chaînes. Celles-ci ont pour propriété de révéler ce qui constitue l'essence du contrat, en permettant de le distinguer de certaines figures qui tentent de s'y assimiler mais s'en distinguent néanmoins dès lors que l'aptitude d'un objet juridique à s'intégrer dans les chaînes de classifications est perçu comme conditionnant la qualification contractuelle elle-même. Envisagées comme un critère privilégié de définition du contrat, qui peut inspirer les projets visant à élaborer un droit européen des contrats, les chaînes de classifications ont ensuite été pensées dans leurs rapports avec la diversité des contrats nommés. Les chaînes de classifications absorbent ces derniers ainsi que leur régime juridique qui peut, en conséquence, être transposé aux contrats innomés. Permettant un renouvellement des regroupements et des distinctions généralement perçus, les chaînes de classifications apportent un éclairage nouveau au processus de qualification du contrat, contribuent à préciser le domaine de la modification du contrat, et fournissent, enfin, un fondement à l'action contractuelle directe qui s'exerce dans les chaînes de contrats
The classification of contracts as it is stated in the civil Code articles 1102 onwards structurally distinguishes itself from modern classifications having been added to it. Looking thoroughly at the matter of a global approach of classification, the classifications of the civil Code, separated from a legal regime which does not in fact depend on them and on notions which are foreign to it, such as the concept of “cause”, were considered in their connections of logic and complementarity. The existence of the chains of classifications, a new classification resulting from the coherent assembly of the various classifications provided for the civil Code, were brought to light thanks to a study aiming at understanding how these classifications are bound and harmonized. The features of the classification of contracts were then deducted from the very structure of the classifications of the civil Code combined in chains. These have for feature to reveal what constitutes the essence of the contract, by allowing to distinguish it from certain figures which try to assimilate to it but nevertheless distinguish themselves from it since the capacity of a legal object to become integrated into the chains of classifications is perceived as conditional on the contractual qualification itself. Considered as a preferred criterion of the definition of the contract, which can give rise to projects aiming at the elaboration of a body of European contract laws, the chains of classifications were then conceptualised in their connections with the variety of the named contracts. The chains of classifications absorb these contracts as well as their legal regime which can, consequently, be transposed into the unnamed contracts. Allowing a renewal of the groupings generally perceived, the chains of classifications bring a new light to the process of qualification of the contract. They contribute to specify the domain of the modification of the contract, and finally supply a foundation for the direct contractual action which is applied to the chains of contracts
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Yantis, James Hugh. "Vegetation classification and the efficacy of plant dominance-based classifications in predicting the occurrence of plant and animal species." Diss., Texas A&M University, 2005. http://hdl.handle.net/1969.1/4165.

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One strategy for conserving biodiversity is to select large-area preserves that complement each other so the maximum number of species is conserved. Estimates of biodiversity and complementarity are needed for optimum selection of preserves. Comparisons are made in part by defining and mapping vegetation associations under the assumption that candidate areas with no associations in common likely have high complementarity. Conversely, areas with many associations in common have low complementarity. Vegetation associations are often distinguished on the basis of the dominant plant species. Associations with markedly different dominants (e.g., evergreen and deciduous trees) are expected to indicate high complementarity. In this study I evaluated the complementarity of an evergreen forest and a deciduous forest. I also evaluated a dichotomy of subsoil texture. I compared 6 groups of species: (1) woody plants (Dicotyledonae), (2) birds (Aves), (3) small mammals (Mammalia) plus herptiles (Amphibia) and (Reptilia), (4) beetles(Coleoptera), (5) ants (Formicidae) plus velvet ants (Mutillidae), and (6) spiders (Araneae). I made the comparisons using canonical correspondence analysis (CCA), redundancy analysis (RDA), logistic regression, and 3 indices of biodiversity. In this study the species of dominant tree was more strongly associated with the distribution of species than was soil texture. Dominant tree and soil texture used together greatly improved the association with the distribution of species. The association defined by the dominant evergreen tree was not different than the association defined by the dominant deciduous tree, based on the criteria that an association is defined as having a Jaccard similarity index between 0.25 and 0.5. Similarities >0.5, as in this case, are too similar to be an association and are termed a subassociation. Evergreen forests and deciduous forests do not necessarily have high complementarity. Different dominant plant species do not necessarily define different associations. Dominant plant species are not necessarily useful in defining associations or higher-level classifications.
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Gren, Kristofer. "Bilden av kvinnan i Library of Congress Classification En genusstudie av Library of Congress Classifications första och senaste upplaga." Thesis, Högskolan i Borås, Institutionen Biblioteks- och informationsvetenskap / Bibliotekshögskolan, 2002. http://urn.kb.se/resolve?urn=urn:nbn:se:hb:diva-20627.

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I have done a comparative gender study of Library of Congress Classification from 1900 and 2001. I have also used a hermeneutic method and ideological critics to find out what picture of women the both systems shows. In my comparative study of the both systems I have found low update of classes which relates to women in the new classification system. Men seem to be a norm in the system, because men are not defined in classes related to both men and women. But many classes related to women are named Women as and Women in The study also shows that women are more related to subjects about family and marriage than men are. In classes for work and studies women are defined as another society group than the norm, the man. The old system from 1900 follows the historical context from the time of 1900. The new system follows a gender hierarchy where the man has the dominated role, according to Yvonne Hirdmans theory about the gender system.
Uppsatsnivå: D
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Bogers, Toine, Willem Thoonen, and den Bosch Antal van. "Expertise classification: Collaborative classification vs. automatic extraction." dLIST, 2006. http://hdl.handle.net/10150/105709.

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Social classification is the process in which a community of users categorizes the resources in that community for their own use. Given enough users and categorization, this will lead to any given resource being represented by a set of labels or descriptors shared throughout the community (Mathes, 2004). Social classification has become an extremely popular way of structuring online communities in recent years. Well-known examples of such communities are the bookmarking websites Furl (http://www.furl.net/) and del.icio.us (http://del.icio.us/), and Flickr (http://www.flickr.com/) where users can post their own photos and tag them. Social classification, however, is not limited to tagging resources: another possibility is to tag people, examples of which are Consumating (http://www.consumating.com/), a collaborative tag-based personals website, and Kevo (http://www.kevo.com/), a website that lets users tag and contribute media and information on celebrities. Another application of people tagging is expertise classification, an emerging subfield of social classification. Here, members of a group or community are classified and ranked based on the expertise they possess on a particular topic. Expertise classification is essentially comprised of two different components: expertise tagging and expert ranking. Expertise tagging focuses on describing one person at a time by assigning tags that capture that person's topical expertise, such as â speech recognition' or â small-world networks'. information request, such as, for instance, a query submitted to a search engine. Methods are developed to combine the information about individual members' expertise (tags), to provide on-the-fly query-driven rankings of community members. Expertise classification can be done in two principal ways. The simplest option follows the principle of social bookmarking websites: members are asked to supply tags that describe their own expertise and to rank the other community members with regard to a specific request for information. Alternatively, automatic expertise classification ideally extracts expertise terms automatically from a user's documents and e-mails by looking for terms that are representative for that user. These terms are then matched on the information request to produce an expert ranking of all community members. In this paper we describe such an automatic method of expertise classification and evaluate it using human expertise classification judgments. In the next section we will describe some of the related work on expertise classification, after which we will describe our automatic method of expertise classification and our evaluation of them in sections 3 and 4. Sections 5.1 and 5.1 describe our findings on expertise tagging and expert rankings, followed by discussion and our conclusions in section 6 and recommendations for future work in section 7.
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Ravindra, Dilip. "Firmware and classification algorithm development for vehicle classification." Thesis, California State University, Long Beach, 2015. http://pqdtopen.proquest.com/#viewpdf?dispub=1603749.

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Vehicle classification is one of the active research topic in Intelligent Transport System. This project proposes an approach to classify the vehicles on freeway with respect to the size of the vehicle. This vehicle classification is based on threshold based algorithm. This system consists of two AMR magneto-resistive sensors connected to TI msp430 development board. The data collected from the two magneto resistive sensors is analyzed and supplied to threshold based algorithm to differentiate the vehicles. With the use of minimum number features extracted from the data it was possible to produce very efficient algorithm that is capable of differentiating the vehicles.

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Phillips, Rhonda D. "A Probabilistic Classification Algorithm With Soft Classification Output." Diss., Virginia Tech, 2009. http://hdl.handle.net/10919/26701.

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This thesis presents a shared memory parallel version of the hybrid classification algorithm IGSCR (iterative guided spectral class rejection), a novel data reduction technique that can be used in conjunction with PIGSCR (parallel IGSCR), a noise removal method based on the maximum noise fraction (MNF), and a continuous version of IGSCR (CIGSCR) that outputs soft classifications. All of the above are either classification algorithms or preprocessing algorithms necessary prior to the classification of high dimensional, noisy images. PIGSCR was developed to produce fast and portable code using Fortran 95, OpenMP, and the Hierarchical Data Format version 5 (HDF5) and accompanying data access library. The feature reduction method introduced in this thesis is based on the singular value decomposition (SVD). This feature reduction technique demonstrated that SVD-based feature reduction can lead to more accurate IGSCR classifications than PCA-based feature reduction. This thesis describes a new algorithm used to adaptively filter a remote sensing dataset based on signal-to-noise ratios (SNRs) once the maximum noise fraction (MNF) has been applied. The adaptive filtering scheme improves image quality as shown by estimated SNRs and classification accuracy improvements greater than 10%. The continuous iterative guided spectral class rejection (CIGSCR) classification method is based on the iterative guided spectral class rejection (IGSCR) classification method for remotely sensed data. Both CIGSCR and IGSCR use semisupervised clustering to locate clusters that are associated with classes in a classification scheme. This type of semisupervised classification method is particularly useful in remote sensing where datasets are large, training data are difficult to acquire, and clustering makes the identification of subclasses adequate for training purposes less difficult. Experimental results indicate that the soft classification output by CIGSCR is reasonably accurate (when compared to IGSCR), and the fundamental algorithmic changes in CIGSCR (from IGSCR) result in CIGSCR being less sensitive to input parameters that influence iterations.
Ph. D.
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Taylor, Paul Clifford. "Classification trees." Thesis, University of Bath, 1990. https://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.306312.

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Books on the topic "Classificaton"

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Hewitt, A. E. New Zealand soil classification. 2nd ed. Lincoln, Canterbury, N.Z: Manaaki Whenua Press, 1998.

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Hewitt, A. E. New Zealand soil classification. 3rd ed. Lincoln, N.Z: Manaaki Whenua Press, 2010.

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Simmons, Richard VanNess. Chinese dialect classificaton: A comparative approach to Harngjou, old Jintarn, and common northern Wu. Amsterdam: Benjamins, 1999.

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Husain, Tariq, and Tariq Husain. Genus Pedicularis L. (Scrophulariaceae) in India: A revisionary study. Dehra Dun: Bishen Singh Mahendra Pal Singh, 2010.

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Garg, Arti, 1965- , joint author and Agnihotri Priyanka joint author, eds. Genus pedicularis L. (Scrophulariaceae) in India: A revisionary study. Dehra Dun: Bishen Singh Mahendra Pal Singh, 2010.

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International Program on Chemical Safety. The WHO recommended classification of pesticides by hazard and guidelines to classification, 1996-1997. Geneva: World Health Organization, 1996.

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Hack, Henri Robert George Kenneth. Slope stability probability classification: SSPC = Helling stabiliteit classificatie : SSPC. Delft: International Institute for Aerospace Survey and Earth Sciences, 1996.

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Mitra, Santanu. Intertidal macrofauna of Subarnarekha Estuary (Balasore, Orissa). Kolkata: Zoological Survey of India, 2010.

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Classification. 2nd ed. Boca Raton: Chapman & Hall/CRC, 1999.

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Library of Congress. Subject Cataloging Division. Classification. 3rd ed. Washington, D.C: The Library, 1989.

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Book chapters on the topic "Classificaton"

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Fujita, Hiromasa. "Stage Classifications: UICC/AJCC Classifications and the Japanese Classification." In Esophageal Squamous Cell Carcinoma, 85–113. Singapore: Springer Singapore, 2020. http://dx.doi.org/10.1007/978-981-15-4190-2_6.

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Sicuri, Giovanni Marco, Nicola Galante, and Roberto Stefini. "Brain Arteriovenous Malformations Classifications: A Surgical Point of View." In Acta Neurochirurgica Supplement, 101–6. Cham: Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-63453-7_15.

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AbstractBrain arteriovenous malformations (AVMs) classification has been the subject of extensive discussion. The aim of our work was to review the main classification schemes proposed in the literature, which can be summarized in four main groups: (a) traditional schemes oriented to evaluate the operability of AVMs have been joined by (b) specific classifications that evaluate the outcome and the predictability of obliteration of other treatment modalities and (c) others that evaluate the outcome of intracerebral hemorrhages in ruptured AVMs. Eventually, (d) topographical classifications that categorize the subtypes of AVMs located in specific anatomical regions have been drawn. For each classification, we discuss the implications on surgical management.
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Fujita, Hiromasa. "Stage Classifications: The UICC/AJCC Classifications and the Japanese Classification." In Esophageal Squamous Cell Carcinoma, 77–99. Tokyo: Springer Japan, 2014. http://dx.doi.org/10.1007/978-4-431-54977-2_5.

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Chang, Chein-I. "Automatic Mixed Pixel Classificatio (AMPC): Anomaly Classification." In Hyperspectral Imaging, 257–75. Boston, MA: Springer US, 2003. http://dx.doi.org/10.1007/978-1-4419-9170-6_14.

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Merlan, Francesca, Steven Powell Roberts, and Alan L. Rumsey. "New Guinea ‘Classificatory Verbs’ and Australian Noun Classification." In Studies in Language Companion Series, 63. Amsterdam: John Benjamins Publishing Company, 1997. http://dx.doi.org/10.1075/slcs.37.07mer.

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Bandyopadhyay, Sanghamitra, and Sriparna Saha. "Introduction." In Unsupervised Classification, 1–16. Berlin, Heidelberg: Springer Berlin Heidelberg, 2013. http://dx.doi.org/10.1007/978-3-642-32451-2_1.

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Bandyopadhyay, Sanghamitra, and Sriparna Saha. "Some Single- and Multiobjective Optimization Techniques." In Unsupervised Classification, 17–58. Berlin, Heidelberg: Springer Berlin Heidelberg, 2013. http://dx.doi.org/10.1007/978-3-642-32451-2_2.

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Bandyopadhyay, Sanghamitra, and Sriparna Saha. "Similarity Measures." In Unsupervised Classification, 59–73. Berlin, Heidelberg: Springer Berlin Heidelberg, 2013. http://dx.doi.org/10.1007/978-3-642-32451-2_3.

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Bandyopadhyay, Sanghamitra, and Sriparna Saha. "Clustering Algorithms." In Unsupervised Classification, 75–92. Berlin, Heidelberg: Springer Berlin Heidelberg, 2013. http://dx.doi.org/10.1007/978-3-642-32451-2_4.

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Bandyopadhyay, Sanghamitra, and Sriparna Saha. "Point Symmetry-Based Distance Measures and Their Applications to Clustering." In Unsupervised Classification, 93–123. Berlin, Heidelberg: Springer Berlin Heidelberg, 2013. http://dx.doi.org/10.1007/978-3-642-32451-2_5.

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Conference papers on the topic "Classificaton"

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Cai, Haojie, and Tao Chen. "Multi-Dimension CNN for Hyperspectral Image Classificaton." In IGARSS 2020 - 2020 IEEE International Geoscience and Remote Sensing Symposium. IEEE, 2020. http://dx.doi.org/10.1109/igarss39084.2020.9323561.

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Ng, Theam Foo, Xiuping Jia, and Tuan D. Pham. "Weighted features for cluster space classificaton of hyperspectral images." In 2012 4th Workshop on Hyperspectral Image and Signal Processing: Evolution in Remote Sensing (WHISPERS). IEEE, 2012. http://dx.doi.org/10.1109/whispers.2012.6874314.

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Bessho, Takumi, Kohei Kawabata, and Masatoshi Sato. "Topological Classificaton of Non-Hermitian Gapless Phases: Exceptional Points and Bulk Fermi Arcs." In Proceedings of the International Conference on Strongly Correlated Electron Systems (SCES2019). Journal of the Physical Society of Japan, 2020. http://dx.doi.org/10.7566/jpscp.30.011098.

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Bień, Jan, and Małgorzata Gładysz-Bień. "Multi-level Classification of Bridge Defects in Asset Management." In IABSE Symposium, Guimarães 2019: Towards a Resilient Built Environment Risk and Asset Management. Zurich, Switzerland: International Association for Bridge and Structural Engineering (IABSE), 2019. http://dx.doi.org/10.2749/guimaraes.2019.1100.

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<p>In the paper a proposal of the unified multi-level classification of bridge defects declining condition of bridges is presented as one of the most important elements of asset management. General scheme of bridge degradation process is described with classifications of basic mechanisms of bridge degradation as well as stimulators of degradation mechanisms. Criteria of defects classification are proposed taking into account effects of activities of bridge degradation mechanisms. The proposed general conception of classification methodology of bridge defects is addressed to all types of bridge structures and all types of structural materials. Examples of hierarchical three-level classifications of defects are presented for concrete, steel and masonry bridge structures.</p>
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Fadaie, Gholamreza. "The Influence of Classification on World View and Epistemology." In InSITE 2008: Informing Science + IT Education Conference. Informing Science Institute, 2008. http://dx.doi.org/10.28945/3279.

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Worldview as a kind of man's look towards the world of reality has a severe influence on his classification of knowledge. In other words one may see in classification of knowledge the unity as well as plurality. This article deals with the fact that how classification takes place in man's epistemological process. Perception and epistemology are mentioned as the key points here. Philosophers are usually classifiers and their point of views forms the way they classify things and concepts. Relationship and how one looks at it in shaping the classification scheme is critical. The classifications which have been introduced up to now have had several models. They represent the kind of looking at, or point of view of their founders to the world. Aristotle, as a philosopher as well as an encyclopedist, is one of the great founders of knowledge classification. Afterwards the Islamic scholars followed him while some few rejected his model and made some new ones. If we divide all classifications according to their roots we may define them as human based classification, theology based classification, knowledge based classification, materialistic based classification such as Britannica's classification, and fact based classification. Tow broad approaches have been defined in this article: static and dynamic. The static approach refers to the traditional approaches and the dynamic one refers to the eight way of looking toward objects in order to realize them. The structure of classification has had its influence on epistemology, too. If the first cut on knowledge tree is fully defined, the branches would usually be consistent with it.
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Araujo, Carlos, Marco Cristo, and Rafael Giusti. "Will I Remain Popular? A Study Case on Spotify." In Encontro Nacional de Inteligência Artificial e Computacional. Sociedade Brasileira de Computação - SBC, 2019. http://dx.doi.org/10.5753/eniac.2019.9318.

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Online streaming platforms are now the most important form of music consumption. In this paper, we present a model for predicting if a popular song on Spotify will remain popular after a certain amount of time. Spotify is the second biggest global streaming service. If a song is popular on this plataform it will ensure a good financial return for the artist and his label. We approach the problem as a classification task and employ classificators built on past information from the plataform's Top 50 Global ranking. The Support Vector Machine with linear kernel classificator reached the best results. We also verify if acoustic information can provide useful features for this problem.We made a series of classication rounds, where the results of one round were used as input of posterior rounds. Our results show that rankings previous data alone is sufficient to predict if a song will remain at the Top 50 Global two months in advance, achieving accuracy, negative predictive value, recall, specificity and F1 Score higher than 70\% for this task.
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Bozhchenko, Alexandr, and Sergey Semenov. "On the classification of damaging factors in forensic medicine." In Issues of determining the severity of harm caused to human health as a result of the impact of a biological factor. ru: Publishing Center RIOR, 2020. http://dx.doi.org/10.29039/conferencearticle_5fdcb03a403b58.93332884.

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The article considers the disadvantages of modern forensic classifications of damaging factors. Attention is drawn to the fact that the mental damaging factor undoubtedly exists, but the assessment of its specific role in the formation of “damage” is the subject of forensic psychiatry, which is an independent medical discipline. The social factor mainly affects the behavior of an individual (population group), but its specific features are also not evaluated by methods and techniques of forensic medicine. There is a discrepancy between general and particular classifications — in particular, the forensic classification of explosions includes chemical, physical and nuclear explosions, with the latter's place in the composition of physical explosions. There is a violation of the continuity of classification — a typical error is a violation of hierarchy (the location in the same row of bacterial, viral, and antigenic or toxin damaging actions). It is concluded that due to the variability of the properties of damaging factors, we should not be talking about the classification of damaging factors (material bodies or phenomena), but about the classification of damaging properties of material bodies and phenomena.
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Krylov, Alexey. "EUPHEMIA AS A LANGUAGE PHENOMENON: WORD-FORMATIVE ASPECT." In ЯЗЫК. КУЛЬТУРА. ПЕРЕВОД = LANGUAGE. CULTURE. TRANSLATION. Science and Innovation Center Publishing House, 2019. http://dx.doi.org/10.12731/lct.2019.18.

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We present a mixed classification of German euphemisms based on the analysis and synthesis of previous classifications based on the material of English, German and Russian languages and abstraction and unification of the revealed linguistic facts. The presented classification distinguishes between lexical-semantic (with 8 types), morphological (with 4 types) and complex (2 types) methods of euphemisms formation.
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Cheng, Qianwei, AKM Mahbubur Rahman, Anis Sarker, Abu Bakar Siddik Nayem, Ovi Paul, Amin Ahsan Ali, M. Ashraful Amin, Ryosuke Shibasaki, and Moinul Zaber. "Deep-learning Coupled with Novel Classification Method to Classify the Urban Environment of the Developing World." In 8th International Conference on Artificial Intelligence and Applications (AIAP 2021). AIRCC Publishing Corporation, 2021. http://dx.doi.org/10.5121/csit.2021.110103.

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Rapid globalization and the interdependence of the countries have engendered tremendous in-flow of human migration towards the urban spaces. With the advent of high definition satellite images, high-resolution data, computational methods such as deep neural network analysis, and hardware capable of high-speed analysis; urban planning is seeing a paradigm shift. Legacy data on urban environments are now being complemented with high-volume, high-frequency data. However, the first step of understanding the urban area lies in the useful classification of the urban environment that is usable for data collection, analysis, and visualization. In this paper, we propose a novel classification method that is readily usable for machine analysis and it shows the applicability of the methodology in a developing world setting. However, the state-of-the-art is mostly dominated by the classification of building structures, building types, etc., and largely represents the developed world. Hence, these methods and models are not sufficient for developing countries such as Bangladesh where the surrounding environment is crucial for the classification. Moreover, the traditional classifications propose small-scale classifications, which give limited information, have poor scalability and are slow to compute in real-time. We categorize the urban area in terms of informal and formal spaces and take the surrounding environment into account. 50 km × 50 km Google Earth image of Dhaka, Bangladesh was visually annotated and categorized by an expert and consequently, a map was drawn. The classification is based broadly on two dimensions the state of urbanization and the architectural form of the urban environment. Consequently, the urban space is divided into four classifications: 1) highly informal area 2) moderately informal area 3) moderately formal area and 4) highly formal area. For semantic segmentation and automatic classification, Google’s DeeplabV3+ model was used. The model uses the Atrous convolution operation to analyze different layers of texture and shape. This allows us to enlarge the field of view of the filters to incorporate a larger context. Image encompassing 70% of the urban space was used to train the model and the remaining 30% was used for testing and validation. The model can segment with 75% accuracy and 60% Mean Intersection over Union (mIoU).
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Murray, Andrew P., and Pierre M. Larochelle. "A Classification Scheme for Planar 4R, Spherical 4R, and Spatial RCCC Linkages to Facilitate Computer Animation." In ASME 1998 Design Engineering Technical Conferences. American Society of Mechanical Engineers, 1998. http://dx.doi.org/10.1115/detc98/mech-5887.

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Abstract In this paper we develop a complete classification scheme for planar, spherical and spatial four-bar linkages. The goal of this classification is to note all of the subtleties of motion that an arbitrary set of four link lengths can define. A classification should exist only between the mechanisms that exhibit similar ranges of motion at both the input and output. In the planar case, three parameters being identified as either positive, negative, or zero are necessary to completely characterize all possible ranges of motion. In the spherical and spatial cases, four parameters being identified as positive, negative or zero are needed. The result is 27 classifications of planar mechanisms and 81 for spherical and spatial RCCC mechanisms.
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Reports on the topic "Classificaton"

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Robinson, David Gerald. Tissue Classification. Office of Scientific and Technical Information (OSTI), January 2015. http://dx.doi.org/10.2172/1177377.

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SHpinev, YU S. Investment classification. Институт государства и права РАН, 2020. http://dx.doi.org/10.18411/1311-1972-2020-00011.

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Mersel, Matthew K., Robert W. Lichvar, and Lindsey E. Lefebvre. A Review of Land and Stream Classifications in Support of Developing a National Ordinary High Water Mark (OHWM) Classification. Fort Belvoir, VA: Defense Technical Information Center, August 2014. http://dx.doi.org/10.21236/ada608563.

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Furey, John, Austin Davis, and Jennifer Seiter-Moser. Natural language indexing for pedoinformatics. Engineer Research and Development Center (U.S.), September 2021. http://dx.doi.org/10.21079/11681/41960.

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The multiple schema for the classification of soils rely on differing criteria but the major soil science systems, including the United States Department of Agriculture (USDA) and the international harmonized World Reference Base for Soil Resources soil classification systems, are primarily based on inferred pedogenesis. Largely these classifications are compiled from individual observations of soil characteristics within soil profiles, and the vast majority of this pedologic information is contained in nonquantitative text descriptions. We present initial text mining analyses of parsed text in the digitally available USDA soil taxonomy documentation and the Soil Survey Geographic database. Previous research has shown that latent information structure can be extracted from scientific literature using Natural Language Processing techniques, and we show that this latent information can be used to expedite query performance by using syntactic elements and part-of-speech tags as indices. Technical vocabulary often poses a text mining challenge due to the rarity of its diction in the broader context. We introduce an extension to the common English vocabulary that allows for nearly-complete indexing of USDA Soil Series Descriptions.
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Pizarro, Rodrigo, Raúl Delgado, Huáscar Eguino, and Aloisio Lopes Pereira. Climate Change Public Budget Tagging: Connections across Financial and Environmental Classification Systems. Inter-American Development Bank, January 2021. http://dx.doi.org/10.18235/0003021.

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Identifying and evaluating climate expenditures in the public sector, known as budget tagging, has generated increasing attention from multiple stakeholders, not only to assess the governments climate change policy, but also to monitor fiscal risks associated with increasing and unpredictable climate change impacts. This paper explores the issues raised by climate change budget tagging in the context of a broader discussion on the connections with fiscal and environmental statistical classification systems. It argues that, for climate change budget tagging efforts to be successful, the definitions and classifications of climate change expenditures must be consistent with statistical standards currently in use, such as the Government Finance Statistics Framework and the System of National Accounts.
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Hersey, Anne, ed. ChEMBL Assay Classification. EMBL-EBI, June 2018. http://dx.doi.org/10.6019/chembl.assayclassification.

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Schau, M. Classification of granulites. Natural Resources Canada/ESS/Scientific and Technical Publishing Services, 1990. http://dx.doi.org/10.4095/128123.

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DEPARTMENT OF THE ARMY WASHINGTON DC. Classification Management Tutorial. Fort Belvoir, VA: Defense Technical Information Center, October 2006. http://dx.doi.org/10.21236/ada458946.

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Brereton, S. J. Hazard classification methodology. Office of Scientific and Technical Information (OSTI), July 1996. http://dx.doi.org/10.2172/273808.

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Bogdanovic, D., B. Claise, and C. Moberg. YANG Module Classification. RFC Editor, July 2017. http://dx.doi.org/10.17487/rfc8199.

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